Ze Wang

PhD Candidate in Economics · University College London

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Profile

I am a PhD candidate in Economics at University College London and a PhD Scholar at the Stone Centre. I am also a Research Fellow at the Institute for the Future of Work and a Research Affiliate at Holistic AI.

Publications

Experience

  • 2026 —

    Research Assistant · UCL School of Management

    Supporting Prof. Angela Aristidou (UKRI Future Leaders Fellow; Google inaugural “AI & Economy” Researcher), researching AI, the economy, and educational institutions.

  • 2025 —

    Research Fellow · Institute for the Future of Work

    Policy research on the future of work and industrial / labour-market policy.

  • 2025

    Research Assistant · Department of Economics, University of Oxford

    Supported Profs. Martin Weidner, Raffaella Giacomini, and Irene Botosaru on a working paper in econometrics.

  • 2024 —

    Research Affiliate · Holistic AI

    Research on AI bias and fairness; co-supervised UCL MSc projects on AI for Sustainable Development.

Education

  • 2024 —

    PhD in Economics · University College London

    Expected 2028. Stone Centre PhD Scholar.

  • 2023–24

    MRes in Economics · University College London

  • 2022–23

    MSc in Economics · University College London

    Distinction.

  • 2019–22

    BSc in Economics · University College London

    First Class Honours.

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News

  1. Dec 2026 Talk Upcoming
    CESifo · Munich

    Presenting at the CESifo-Transform Workshop on the Economic and Societal Impacts of AI

    Will present AI Alignment Amplifies the Role of Race, Gender, and Disability in Hiring Decisions — joint work with Guobin Shen and Michael Thaler on how alignment procedures change the weight models place on protected attributes in hiring.

  2. 2026 Role
    UCL School of Management

    Research Assistant to Prof. Angela Aristidou

    Joined the UCL School of Management, working with Prof. Angela Aristidou (UKRI Future Leaders Fellow; Google inaugural “AI & Economy” Researcher) on AI, the economy, and educational institutions.

  3. 2025 Paper
    IJCNLP–AACL 2025

    Bias Amplification: Large Language Models as Increasingly Biased Media ↗

    Accepted at IJCNLP–AACL 2025 — showing how repeated LLM-mediated transmission compounds bias over successive generations of machine-written text.

  4. 2025 Role
    Institute for the Future of Work

    Appointed Research Fellow

    Joined the Institute for the Future of Work, contributing policy research on the future of work and labour-market policy.

  5. 2025 Role
    University of Oxford

    Research Assistant, Department of Economics

    Supported Profs. Martin Weidner, Raffaella Giacomini, and Irene Botosaru on a working paper in econometrics.

  6. Dec 2024 Talk
    Holistic AI × UCL · London

    Presented JobFair at the Hackathon on AI Safety

    Presented the JobFair framework at the two-day Holistic AI × UCL AI Society Hackathon on AI Safety, bringing together technical innovation and responsible AI.

  7. Nov 2024 Paper
    Findings of EMNLP 2024

    JobFair: Benchmarking Gender Hiring Bias in Large Language Models

    Published in Findings of EMNLP 2024 and featured by the OECD AI Policy Observatory.

  8. 2024 Honour
    Stone Centre · UCL

    Awarded the Stone PhD Scholarship

    A competitively awarded scholarship from the James M. and Cathleen D. Stone Centre at UCL, with a £10,000 research grant supporting work on how AI may perpetuate or amplify inequality.

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Contact

ze.wang.19@ucl.ac.uk